2025 KONFERENCIACIKK: Financial Forecasting using Quantum-Inspired Deep Learning
A. Landenberger, S. Szénási: Financial Forecasting using Quantum-Inspired Deep Learning. In IEEE 29th International Conference on Intelligent Engineering Systems (INES [...]
2025 FOLYÓIRATCIKK: Deep Learning-Based Step Size Determination for Hill Climbing Metaheuristics
S. Szénási, G. Légrádi, G. Kovács: Deep Learning-Based Step Size Determination for Hill Climbing Metaheuristics. ALGORITHMS Vol. 18, No. 5, [...]
2025 KONFERENCIACIKK: Advancements and Challenges in Emotion Extraction from Speech: A PRISMA-Guided Systematic Review of Machine and Deep Learning Technique
S. Tyagi, S. Szénási: Advancements and Challenges in Emotion Extraction from Speech: A PRISMA-Guided Systematic Review of Machine and Deep [...]
2025 FOLYÓIRATCIKK: Dynamic Fusion of LSTM Predictions Using Reinforcement Learning-Based GOWLA for Human Activity Recognition
H. K. Fatlawi, A. Kiss: Dynamic Fusion of LSTM Predictions Using Reinforcement Learning-Based GOWLA for Human Activity Recognition. IEEE ACCESS [...]
2025 FOLYÓIRATCIKK: Machine Learning for Modeling Stress Evolution
W. Pengyu, A. Mosavi, I. Felde, M. Azodinia, A. Delavar, A. Azamat, S. Wei: Machine Learning for Modeling Stress Evolution. [...]
2025 FOLYÓIRATCIKK: Physics-Informed Neural Networks for Multiaxial Fatigue Life Prediction of Aluminum Alloy
E. Akbari, T. N. Chakherlou, H. Tabrizchi, A. Mosavi: Physics-Informed Neural Networks for Multiaxial Fatigue Life Prediction of Aluminum Alloy. [...]
2025 FOLYÓIRATCIKK: Detecting Building Defects with Deep Learning
M. Mudabbir, A. Mosavi, H. Perez: Detecting Building Defects with Deep Learning. EURASIAN JOURNAL OF MATHEMATICAL AND COMPUTER APPLICATIONS Vol. [...]
2025 FOLYÓIRATCIKK: Machine Learning for Pavement Performance and Service Life Prediction
M. Azodinia, A. Shayakhmetov, A. Mosavi: Machine Learning for Pavement Performance and Service Life Prediction. EURASIAN JOURNAL OF MATHEMATICAL AND [...]
2025 KONFERENCIACIKK: Service Life Modeling of Pavement with Ensemble Learning
M. Azodinia, M. Mudabbir, S. Ardabili, A. R. Várkonyi-Kóczy, K. Iskakov, A. Mosavi: Service Life Modeling of Pavement with Ensemble [...]
2025 KONFERENCIACIKK: Hyperparameter Tuning for Sequential Fuzzy Indexed Search Trees Classifiers for Biosignal Processing
B. Tusor, A. R. Várkonyi-Kóczy, S. Gubo: Hyperparameter Tuning for Sequential Fuzzy Indexed Search Trees Classifiers for Biosignal Processing. In [...]
2024 FOLYÓIRATCIKK: Machine learning aided metaheuristics: A comprehensive review of hybrid local search methods
S. Szénási, G. Légrádi: Machine learning aided metaheuristics: A comprehensive review of hybrid local search methods. EXPERT SYSTEMS WITH APPLICATIONS [...]
2024 KONFERENCIACIKK: Machine Learning-Assisted Approach for Optimizing Step Size of Hill Climbing Algorithm
S. Szénási, G. Légrádi, B. Vígh: Machine Learning-Assisted Approach for Optimizing Step Size of Hill Climbing Algorithm. In IEEE 18th [...]
2024 KONFERENCIACIKK: Revolutionizing Speech Emotion Recognition: A Novel Hilbert Curve Approach for Two-Dimensional Representation and Convolutional Neural Network Classification
S. Tyagi, S. Szénási: Revolutionizing Speech Emotion Recognition: A Novel Hilbert Curve Approach for Two-Dimensional Representation and Convolutional Neural Network [...]
2024 FOLYÓIRATCIKK: Optimizing Speech Emotion Recognition with Deep Learning and Grey Wolf Optimization: A Multi-Dataset Approach
S. Tyagi, S. Szénási: Optimizing Speech Emotion Recognition with Deep Learning and Grey Wolf Optimization: A Multi-Dataset Approach. ALGORITHMS Vol. [...]
2024 KONFERENCIACIKK: Advancing in Protein Function Prediction: Leveraging Small Data Techniques in Convolutional and Graph Convolutional Networks
B. Holicza, P. Lehotay-Kéry, A. Kiss: Advancing in Protein Function Prediction: Leveraging Small Data Techniques in Convolutional and Graph Convolutional [...]
2024 FOLYÓIRATCIKK: Enhancing Language Model Performance with a Novel Text Preprocessing Method
A. Jalili, H. Tabrizchi, A. Mosavi, A. R. Várkonyi-Kóczy: Enhancing Language Model Performance with a Novel Text Preprocessing Method. ACTA [...]
2024 FOLYÓIRATCIKK: Investigating Traditional Machine Learning Models and the Utility of Audio Features for Lightweight Swarming Prediction in Beehives
D. T. Várkonyi, D. T. Bányai, A. R. Várkonyi-Kóczy: Investigating Traditional Machine Learning Models and the Utility of Audio Features [...]
2024 KONFERENCIACIKK: Fuzzy Inference with Sequential Fuzzy Indexed Search Trees
B. Tusor, O. Takáč, S. Gubo, A. R. Várkonyi-Kóczy: Fuzzy Inference with Sequential Fuzzy Indexed Search Trees. In Recent Advances [...]
2024 KONFERENCIACIKK: Improved Sequential Fuzzy Indexed Search Trees for Fast Classification
B. Tusor, A. R. Várkonyi-Kóczy, S. Gubo: Improved Sequential Fuzzy Indexed Search Trees for Fast Classification. In IEEE International Symposium [...]
2024 KONFERENCIACIKK: Vine Diseases Detection Trials in the Carpathian Region with Proximity Aerial Images
L. Tamas, S. Gubo, T. Lukić: Vine Diseases Detection Trials in the Carpathian Region with Proximity Aerial Images. In IEEE [...]
2023 FOLYÓIRATCIKK: What Can We Learn From Small Data
T. Nyiri, A. Kiss: What Can We Learn From Small Data. InFOCOMMUNICATION Journal special issue, pp. 27-34, 2023. ISSN 2061-2079 [...]
2023 FOLYÓIRATCIKK: An Elastic Self-Adjusting Technique for Rare-Class Synthetic Oversampling Based on Cluster Distortion Minimization in Data Stream
H. K. Fatlawi, A. Kiss: An Elastic Self-Adjusting Technique for Rare-Class Synthetic Oversampling Based on Cluster Distortion Minimization in Data [...]
2023 FOLYÓIRATCIKK: Predicting and Comparing Students’ Online and Offline Academic Performance Using Machine Learning Algorithms
B. Holicza, A. Kiss: Predicting and Comparing Students’ Online and Offline Academic Performance Using Machine Learning Algorithms. BEHAVIORAL Sciences Vol. [...]
2023 FOLYÓIRATCIKK: Semantic speech analysis using machine learning and deep learning techniques: a comprehensive review
S. Tyagi, S. Szénási: Semantic speech analysis using machine learning and deep learning techniques: a comprehensive review. MULTIMEDIA TOOLS AND [...]
2023 KONFERENCIACIKK: A Comprehensive Investigation into The Noise Reduction Techniques for Speech
S. Tyagi, A. R. Várkonyi-Kóczy, S. Szénási: A Comprehensive Investigation into The Noise Reduction Techniques for Speech. In IEEE 21st [...]